David Ahn
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
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- Complex Network Analysis Techniques
Papers in
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- Natural Language Processing Techniques 9
- Topic Modeling 7
- Speech and dialogue systems 4
- Semantic Web and Ontologies 3
- Logic, Reasoning, and Knowledge 2
- Logic, programming, and type systems 1
- Co-authors
- Brendan O’Connor (1 shared paper)Maarten de Rijke (4 shared papers)Martin van den Berg (3 shared papers)Livia Polanyi (3 shared papers)Christine H. Nakatani (1 shared paper)Barbara J. Grosz (1 shared paper)Julia Hirschberg (1 shared paper)Feng Pan (2 shared papers)
- Journals
- Journal of Applied Logic (1 paper)Journal of Logic Language and Information (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (1 paper)Movebank (1 paper)UMI Dissertation Services eBooks (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
David Ahn
13 papers receiving 709 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 677
- Statistical and Nonlinear Physics 110
- Information Systems 194
- Management Science and Operations Research 58
- Human-Computer Interaction 22
Countries citing papers authored by David Ahn
This map shows the geographic impact of David Ahn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ahn more than expected).
Fields of papers citing papers by David Ahn
This network shows the impact of papers produced by David Ahn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Ahn. The network helps show where David Ahn may publish in the future.
Co-authors
The 18 scholars most cited alongside David Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 316 | |
| 2 | 2010 | 257 | |
| 3 | 2009 | 48 | |
| 4 | Instructions for annotating discourse | 1995 | 43 |
| 5 | A Rule Based Approach to Discourse Parsing | 2004 | 40 |
| 6 | A Cascaded Machine Learning Approach to Interpreting Temporal Expressions | 2007 | 30 |
| 7 | 2004 | 22 | |
| 8 | 2005 | 16 | |
| 9 | 2006 | 12 | |
| 10 | Supporting temporal question answering: Strategies for offline data collection | 2006 | 10 |
| 11 | 2006 | 10 | |
| 12 | 2003 | 7 | |
| 13 | 2011 | 4 | |
| 14 | The role of situations and presuppositions in restricting adverbial quantification | 2004 | 1 |
| 15 | 2019 | 0 |
About David Ahn
David Ahn is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Science Applications and Statistical and Nonlinear Physics, having authored 15 papers that have together received 816 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers), Speech and dialogue systems (4 papers), Semantic Web and Ontologies (3 papers), Advanced Database Systems and Queries (2 papers), Logic, Reasoning, and Knowledge (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Artificial Intelligence (677 citations), Statistical and Nonlinear Physics (110 citations), Information Systems (194 citations), Management Science and Operations Research (58 citations) and Human-Computer Interaction (22 citations). David Ahn has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Brendan O’Connor, Maarten de Rijke, Martin van den Berg, Livia Polanyi, Christine H. Nakatani, Barbara J. Grosz, Julia Hirschberg, Feng Pan, Gianluca Donato and Sisay Fissaha Adafre. Their work appears in journals such as Journal of Applied Logic, Journal of Logic Language and Information, Digital Access to Scholarship at Harvard (DASH) (Harvard University), Movebank and UMI Dissertation Services eBooks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.